Association between hemoglobin glycation index and subclinical myocardial injury in the general population free from cardiovascular disease

糖化血红素 内科学 医学 亚临床感染 糖基化 糖尿病 混淆 人口 逻辑回归 心脏病学 2型糖尿病 内分泌学 环境卫生
作者
Zhenwei Wang,Yihai Liu,Jing Xie,Naifeng Liu
出处
期刊:Nutrition Metabolism and Cardiovascular Diseases [Elsevier BV]
卷期号:32 (2): 469-478 被引量:15
标识
DOI:10.1016/j.numecd.2021.10.018
摘要

The relationship between hemoglobin glycation index (HGI) and the diagnosis and prognosis of cardiovascular disease (CVD) has been verified by previous studies. However, it remains unknown whether HGI has a predictive effect on subclinical myocardial injury (SC-MI). The purpose of the present study was to explore the relationship between HGI and SC-MI in the general population free from CVD.The present study included 6009 participants free of CVD from the third National Health and Nutrition Examination Survey. Binary Logistic regression analysis was used to tested the association between HGI and SC-MI. As results, the HGI was significantly higher in participants with SC-MI compared with those without, and the HGI was positively correlated with SC-MI and other metabolic disorder parameters. Each 1-unit increase of HGI and glycated hemoglobin A1c (HbA1c) was independently associated with higher risk of SC-MI (P < 0.05), while fasting plasma glucose (FPG) was no longer a predictive indicator of SC-MI with the increase of confounding factors [OR (95% CI): 1.001 (0.999-1.003), P = 0.305]. And in the subgroup analysis, HGI, only in participants without diabetes, was independently associated with higher risk of SC-MI, while HbA1c and FPG had no independent predictive role in both diabetic and non-diabetic participants.HGI was a significant predictor of SC-MI in the general population free from CVD.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
科目三应助ROY采纳,获得10
刚刚
1秒前
yyyyyzz完成签到,获得积分10
2秒前
弟弟发布了新的文献求助10
2秒前
3秒前
3秒前
3秒前
微笑以南发布了新的文献求助10
4秒前
华仔应助dllz采纳,获得10
4秒前
4秒前
科研通AI6.1应助姜忆霜采纳,获得30
4秒前
shun发布了新的文献求助10
4秒前
是玖儿啊发布了新的文献求助10
5秒前
清辉夜凝发布了新的文献求助10
6秒前
张玥完成签到,获得积分10
6秒前
大模型应助czj采纳,获得10
6秒前
英吉利25发布了新的文献求助10
7秒前
佩奇发布了新的文献求助10
8秒前
8秒前
科研通AI6.2应助Zy189采纳,获得10
9秒前
乐乐应助godblessyou采纳,获得10
9秒前
9秒前
陈诗雨完成签到,获得积分10
10秒前
科研通AI6.1应助冷酷严青采纳,获得10
10秒前
arbitmomo应助dc采纳,获得10
11秒前
12秒前
kimsooin完成签到,获得积分20
13秒前
14秒前
14秒前
15秒前
15秒前
15秒前
15秒前
赘婿应助ZhouLu采纳,获得10
15秒前
弟弟关注了科研通微信公众号
15秒前
16秒前
浮浮世世发布了新的文献求助30
16秒前
隐形曼青应助Wisee采纳,获得10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6504093
求助须知:如何正确求助?哪些是违规求助? 8298556
关于积分的说明 17713644
捐赠科研通 5603112
什么是DOI,文献DOI怎么找? 2919756
邀请新用户注册赠送积分活动 1897073
关于科研通互助平台的介绍 1758719